Improvement of operating room performance using a multi-objective mathematical model and data envelopment analysis: A case study
Surgical theater is one of the most expensive hospital sources that a high percentage of hospital admissions are related to it. Therefore, efficient planning and scheduling of the operating rooms (ORs) is necessary to improve the efficiency of any healthcare system. Therefore, in this paper, the wee...
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| Format: | Article |
| Language: | English |
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Iran University of Science & Technology
2018-06-01
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| Series: | International Journal of Industrial Engineering and Production Research |
| Subjects: | |
| Online Access: | http://ijiepr.iust.ac.ir/browse.php?a_code=A-10-732-5&slc_lang=en&sid=1 |
| _version_ | 1818290430145462272 |
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| author | Mojtaba Hamid Mahdi Hamid Mohammad Mahdi Nasiri Mahdi Ebrahimnia |
| author_facet | Mojtaba Hamid Mahdi Hamid Mohammad Mahdi Nasiri Mahdi Ebrahimnia |
| author_sort | Mojtaba Hamid |
| collection | DOAJ |
| description | Surgical theater is one of the most expensive hospital sources that a high percentage of hospital admissions are related to it. Therefore, efficient planning and scheduling of the operating rooms (ORs) is necessary to improve the efficiency of any healthcare system. Therefore, in this paper, the weekly OR planning and scheduling problem is addressed to minimize the waiting time of elective patients, overutilization and underutilization costs of ORs and the total completion time of surgeries. We take into account the available hours of ORs and the surgeons, legal constraints and job qualification of surgeons, and priority of patients in the model. A real-life example is provided to demonstrate the effectiveness and applicability of the model and is solved using ε-constraint method in GAMS software. Then, data envelopment analysis (DEA) is employed to obtain the best solution among the Pareto solutions obtained by ε-constraint method. Finally, the best Pareto solution is compared to the schedule used in the hospitals. The results indicate the best Pareto solution outperforms the schedule offered by the OR director. |
| first_indexed | 2024-12-13T02:28:02Z |
| format | Article |
| id | doaj.art-8519398c861742cba5aad6866bddf3ce |
| institution | Directory Open Access Journal |
| issn | 2008-4889 2345-363X |
| language | English |
| last_indexed | 2024-12-13T02:28:02Z |
| publishDate | 2018-06-01 |
| publisher | Iran University of Science & Technology |
| record_format | Article |
| series | International Journal of Industrial Engineering and Production Research |
| spelling | doaj.art-8519398c861742cba5aad6866bddf3ce2022-12-22T00:02:35ZengIran University of Science & TechnologyInternational Journal of Industrial Engineering and Production Research2008-48892345-363X2018-06-01292117132Improvement of operating room performance using a multi-objective mathematical model and data envelopment analysis: A case studyMojtaba Hamid0Mahdi Hamid1Mohammad Mahdi Nasiri2Mahdi Ebrahimnia3 Department of Industrial Engineering, Iran University of Science and Technology, Tehran, Iran School of Industrial Engineering, College of Engineering, University of Tehran, Tehran, Iran School of Industrial Engineering, College of Engineering, University of Tehran, Tehran, Iran Baqiyatallah University of Medical Sciences, Tehran, Iran Surgical theater is one of the most expensive hospital sources that a high percentage of hospital admissions are related to it. Therefore, efficient planning and scheduling of the operating rooms (ORs) is necessary to improve the efficiency of any healthcare system. Therefore, in this paper, the weekly OR planning and scheduling problem is addressed to minimize the waiting time of elective patients, overutilization and underutilization costs of ORs and the total completion time of surgeries. We take into account the available hours of ORs and the surgeons, legal constraints and job qualification of surgeons, and priority of patients in the model. A real-life example is provided to demonstrate the effectiveness and applicability of the model and is solved using ε-constraint method in GAMS software. Then, data envelopment analysis (DEA) is employed to obtain the best solution among the Pareto solutions obtained by ε-constraint method. Finally, the best Pareto solution is compared to the schedule used in the hospitals. The results indicate the best Pareto solution outperforms the schedule offered by the OR director.http://ijiepr.iust.ac.ir/browse.php?a_code=A-10-732-5&slc_lang=en&sid=1Multi objective model OR planning and scheduling ε-constraint method Data envelopment analysis |
| spellingShingle | Mojtaba Hamid Mahdi Hamid Mohammad Mahdi Nasiri Mahdi Ebrahimnia Improvement of operating room performance using a multi-objective mathematical model and data envelopment analysis: A case study International Journal of Industrial Engineering and Production Research Multi objective model OR planning and scheduling ε-constraint method Data envelopment analysis |
| title | Improvement of operating room performance using a multi-objective mathematical model and data envelopment analysis: A case study |
| title_full | Improvement of operating room performance using a multi-objective mathematical model and data envelopment analysis: A case study |
| title_fullStr | Improvement of operating room performance using a multi-objective mathematical model and data envelopment analysis: A case study |
| title_full_unstemmed | Improvement of operating room performance using a multi-objective mathematical model and data envelopment analysis: A case study |
| title_short | Improvement of operating room performance using a multi-objective mathematical model and data envelopment analysis: A case study |
| title_sort | improvement of operating room performance using a multi objective mathematical model and data envelopment analysis a case study |
| topic | Multi objective model OR planning and scheduling ε-constraint method Data envelopment analysis |
| url | http://ijiepr.iust.ac.ir/browse.php?a_code=A-10-732-5&slc_lang=en&sid=1 |
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